Effects of Scientific Text Format on Scientific Text Learning

Automatic Enumeration of Scientific Text

Ever since the content depth of text in general can be measured structurally wise, starting from the elementary statistics of letters, counts of syllables, morphemes, words, relevant clause patterns, specific grammar categories, and onward, it is possible to establish the content equivalence patterns defined within such projection pattern spaces, an approach that is appealing in science especia...

Real World Auto-tagging of Scientific Text

Part of speech taggers have error rates in the three to five percent range. For researchers and developers who wish to use part of speech taggers in practical information extraction systems, the news about error rate is both better than and worse than the 3-5 per cent figure would indicate. We show why the relevant error for practical systems is lower than the figures cited in the research lite...

Argumentative Zoning: Information Extraction from Scientific Text

ing service in physics and the manufacturer of the INSPEC database, indexed 174,000 items in one year alone (1996), of which about 146,500 are journal articles. However, these already impressive numbers exclude less important journals, workshop proceedings, conference papers and non-English material. Indeed, the growth rate is probably exponential—Maron and Kuhns (1960) estimated that the index...

Predicting Text Quality for Scientific Articles

My work aims to build a system to automatically predict the writing quality in scientific articles from two genres—academic publications and science journalism. Our goal is to employ these predictions for article recommendation systems and to provide feedback during

Extracting Biological Keywords from Scientific Text